Month: January 2018

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below are daily number of tweets mentions for Digibyte. The tweets mentions jumped by almost 50% on 2nd of January. The next day the price began a rally of almost 100% as of 6th January. We often find that the social media buzz is ahead of price.

What happened is also a recovery in hourly sentiment of tweets about Digibyte on 4th January 2am UTC, see chart below. Later on that day the rally started from 0.08 USD to now around 0.12 USD. You can get tweets mentions as well as sentiment calculated with machine learning at our platform www.bittsanalytics.com.

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Siacoin over the last few days. The hourly sentiment of Siacoin surged yesterday, 5th January 3am UTC time. As we have already posted in other such cases in the past this means a major bullish signal for the price and since then the price of Siacoin has surged by more than +120%. Sentiment is often ahead of the price and you can read about many similar examples in our blog posts.

Check also tweets mentions of Siacoin in recent days which jumped by a third already in the days before:

Tweets mentions is also like sentiment often ahead of the price and you can start using sentiment and tweets mentions data like this to improve your cryptocurrency trading by using our platform www.bittsanalytics.com.

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Ripple over the last month. The hourly sentiment of Ripple dipped to negative yesterday, 4th January 8pm UTC time for the first time in several weeks. As we have already posted in other such cases in the past this means a warning signal for the price and since then the price of Ripple has since then fallen indeed by 15%. Sentiment is often ahead of the price and you can read more examples in our blog posts.

We actually went bullish on account of real-time sentiment in mid December, you can read more about it here:

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Verge around the mid December. The hourly sentiment of Verge surged on 14 December – 10pm UTC time.

As we have already posted in other such cases in the past this means a major bullish signal for the price and indeed the price of Verge has since then rallied by almost 700%. The other important factor to look for is the tweets mentions, as you can see it began to surge for Verge around the same time and was an important indicator as well.

You can start using both sentiment and tweets mentions data for 200+ main cryptocurrencies like this by subscribing to our platform at www.bittsanalytics.com. Get better data and be ahead of others.

We track millions of social media posts and use machine learning to determine sentiment for 200+ of cryptocurrencies in real-time. Below is real-time sentiment of tweets mentioning Stellar Lumens over the last few days. The hourly sentiment of Stellar Lumens surged on 29 December – 2am UTC time. As we have already posted in other such cases in the past this means a major bullish signal for the price and indeed the price of Stellar Lumens has since then rallied by almost 120%.

29th December was also the day when the tweets mentions of Stellar Lumens also dramatically rose, almost by a factor of 2. See the chart below of daily tweets mentions and daily sentiment.

You can start using sentiment and tweets mentions data like this by subscribing to our platform at www.bittsanalytics.com.